I’m using jupyter notebook and python 3.6.8 to build a conversational agent. My interpreter is parsing intents correctly but I’ve tried five different ways to build an agent and it either goes straight to fallback or gives an answer that is far off from the intent found with the interpreter.

I want to build an agent that:

is in python, not bash code

supports custom fallback

allows an interactive mode so I can see the predicted intents and confidence

answers correctly

This doesn’t go together and neither building of agent works correctly in my case:
rasa.com